Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 19244005.
- Also identified by DOI 10.1109/TMI.2008.928920 and PMC identifier 2718576.
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Abstract
We describe a method for unsupervised region segmentation of an image using its spatial frequency domain representation. The algorithm was designed to process large sequences of real-time magnetic resonance (MR) images containing the 2-D midsagittal view of a human vocal tract airway. The segmentation algorithm uses an anatomically informed object model, whose fit to the observed image data is hierarchically optimized using a gradient descent procedure. The goal of the algorithm is to automatically extract the time-varying vocal tract outline and the position of the articulators to facilitate the study of the shaping of the vocal tract during speech production.
Medical subject headings
- Algorithms
- Image Processing, Computer-Assisted
- Larynx
- Magnetic Resonance Imaging
- Mouth
- Pharynx
- Speech